At a recent online autonomous driving event held by Automotive IQ, industry experts from around the world gathered to discuss the technical and organizational challenges that must be addressed to achieve scalable, safe, and trustworthy autonomous driving systems.
Three panel discussions distilled several common themes: moving AI from proof of concept to scaled deployment, the importance of winning public trust, and the rising critical role of cybersecurity in increasingly software-defined vehicles.
Scaling AI and SDV Architectures Toward Higher Levels of Autonomous Driving
The event's first panel discussion, themed "How AI and SDV Architectures Enable Next-Generation Scalable L3, L3+, and L4 Autonomous Driving," was moderated by David Doria, Director of Autonomous Driving Engineering at Magna International, with participation from Ahmed AbuTabl, Global Director of Software Engineering and Body Control at FORVIA HELLA, and Sergey Malygin, CEO of SODA.Auto.
The experts noted that the industry is shifting from developing autonomous driving algorithms to scaling them for mass production deployment. Although AI capabilities have improved significantly in recent years, the next challenge lies in building the engineering systems, verification frameworks, and development processes that support large-scale deployment.
The discussion highlighted the importance of zonal architectures and centralized computing platforms as foundational enablers of software-defined vehicles. By integrating multiple electronic control units and reducing wiring complexity, zonal architectures provide the computing power and flexibility needed to support advanced driver assistance systems and future autonomous driving applications.
The discussion also addressed the evolution of autonomous driving systems from traditional sensor fusion to end-to-end AI models. As vehicles become increasingly software-driven, testing and verification strategies must evolve accordingly. The experts emphasized the need to build a comprehensive test environment combining simulation, software verification, and vehicle-level testing to manage growing complexity.
Looking ahead, cutting-edge technologies such as V2X communication are expected to further enhance vehicle intelligence by accessing external data sources, real-time infrastructure information, and potentially off-board computing resources.
Building Public Trust in Robotaxis
Although technology is a key driver of autonomous driving, the second panel discussion showed that public acceptance may be equally challenging.
In the session themed "Overcoming Skepticism: How to Build Public Trust in Robotaxis," Aitor Pena Morales, Head of Sales Excellence for Spain and Portugal at BYD Europe, and Philip Koopman, Professor Emeritus at Carnegie Mellon University, discussed how autonomous driving companies can build confidence among consumers and regulators.
The core insight is that trust cannot be achieved through technical performance alone. The experts argued that transparency, accountability, and effective communication are indispensable for building long-term confidence in autonomous driving systems.Companies cannot rely solely on statistical safety claims; they should adopt communication methods that resonate with consumers. People tend to respond more strongly to individual incidents and stories than to abstract safety metrics, so proactive communication and transparency are particularly important when problems arise.
The discussion also highlighted the importance of customer experience design. Early Robotaxi services need to provide a clear, intuitive user experience that helps passengers understand the vehicle's intentions. Future solutions may include more user-friendly interfaces, visual indicators, or AI-based assistance systems to reduce uncertainty and boost confidence.
Preparing for Next-Generation Automotive Cybersecurity
The final panel discussion of the event focused on preparing for the future cybersecurity of autonomous vehicles. It was moderated by Florian Rohde, Managing Partner of iProcess LLC, with participation from Dr. Sheikh Mahbub Habib, Head of Product Cybersecurity and Privacy Innovation at AUMOVIO.
As cybersecurity becomes a core pillar of safety and trust, Dr. Habib pointed out that modern vehicles introduce a significantly larger attack surface through connected services, software integration, and third-party ecosystems.
The discussion paid particular attention to future threats posed by quantum computing. Although large-scale quantum attacks are still years away from becoming reality, the industry has already begun to prepare by adopting post-quantum cryptography standards and more flexible, crypto-agile vehicle architectures to accommodate future security requirements.
The discussion reaffirmed that it is crucial to incorporate cybersecurity considerations in the early stages of vehicle development. Secure OTA updates, authenticated software delivery, continuous vulnerability management, and close collaboration between OEMs and suppliers are all indispensable to ensuring the security of vehicles throughout their lifecycle.
Looking Ahead
This event highlighted that the future of autonomous mobility goes far beyond AI algorithms alone. Success will depend on scalable SDV architectures, robust validation processes, transparent consumer communication, and a resilient cybersecurity foundation. As the industry advances toward higher levels of autonomous driving, companies that can integrate these elements will be best positioned to deliver safe, trustworthy, and commercially viable autonomous driving solutions.
The above topics and other related content will be further explored at the SDV & AV Technology conference series organized by Automotive IQ in 2026.